IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v25y1979i8p729-743.html
   My bibliography  Save this article

Optimal Inventory Ordering Policy with Tax Payments Under FIFO and LIFO Accounting Systems

Author

Listed:
  • Morris A. Cohen

    (University of Pennsylvania)

  • Dov Pekelman

    (Tel Aviv University)

Abstract

This paper considers the impact of tax liabilities on optimal inventory policy through the medium of FIFO and LIFO tax valuation schemes in a stochastic environment. The relationship between inventory policy and changes in either the rate of inflation or the corporate tax rate is investigated. By using recent results from the field of perishable product inventory systems, closed from expressions for expected profit are generated for both FIFO and LIFO. An extensive analysis of die one period problem indicates the impact of each valuation scheme on inventory ordering. Optimal policies are derived for the multi-period problem where prices, costs and demand distributions vary with time. In the case of FIFO a nonstationary optimal myopic policy is generated. In the case of LIFO optimal order policy is nonstationary and nonmyopic. The paper concludes with an example which illustrates the dynamic response of order policy under both schemes. The example indicates that the cost of ignoring taxes in optimizing order levels can be substantial, and that policy obtained under FIFO may be a reasonable approximation to the LIFO policy. The benefit of switching from FIFO to LIFO is also quantified.

Suggested Citation

  • Morris A. Cohen & Dov Pekelman, 1979. "Optimal Inventory Ordering Policy with Tax Payments Under FIFO and LIFO Accounting Systems," Management Science, INFORMS, vol. 25(8), pages 729-743, August.
  • Handle: RePEc:inm:ormnsc:v:25:y:1979:i:8:p:729-743
    DOI: 10.1287/mnsc.25.8.729
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.25.8.729
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.25.8.729?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Borga Deniz & Itir Karaesmen & Alan Scheller-Wolf, 2010. "Managing Perishables with Substitution: Inventory Issuance and Replenishment Heuristics," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 319-329, July.
    2. Qing Li & Peiwen Yu & Xiaoli Wu, 2016. "Managing Perishable Inventories in Retailing: Replenishment, Clearance Sales, and Segregation," Operations Research, INFORMS, vol. 64(6), pages 1270-1284, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:25:y:1979:i:8:p:729-743. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.